Update README.md

Author: lzl199704

README.md

@@ -1,7 +1,9 @@
 # RadImageNet
 Welcome to the official repository for RadImageNet. 
 
-The RadImageNet database is an open-access medical imaging database. This study was designed to improve transfer learning performance on downstream medical imaging applications. The experiments were designed in four phases. The RadImageNet dataset are available by request at https://www.radimagenet.com/, and the dataset split csv can be found here https://drive.google.com/drive/folders/1FUir_Y_kbQZWih1TMVf9Sz8Pdk9NF2Ym?usp=sharing. The RadImageNet pretrained models are availble at https://drive.google.com/drive/folders/1Es7cK1hv7zNHJoUW0tI0e6nLFVYTqPqK?usp=sharing or https://drive.google.com/file/d/1UgYviv2K6QPM1SCexqqab5-yTgwoAFEc/view?usp=share_link. We will release pretrained Swin Transformer weights later. 
+The RadImageNet database is an open-access medical imaging database. This study was designed to improve transfer learning performance on downstream medical imaging applications. The experiments were designed in four phases. The RadImageNet dataset are available by request at https://www.radimagenet.com/, and the dataset split csv can be found here https://drive.google.com/drive/folders/1FUir_Y_kbQZWih1TMVf9Sz8Pdk9NF2Ym?usp=sharing. 
+
+The Tensorflow RadImageNet pretrained models are availble at https://drive.google.com/drive/folders/1Es7cK1hv7zNHJoUW0tI0e6nLFVYTqPqK?usp=sharing or https://drive.google.com/file/d/1UgYviv2K6QPM1SCexqqab5-yTgwoAFEc/view?usp=share_link. The PyTorch RadImageNet pretrained models are available at https://drive.google.com/file/d/1RHt2GnuOYlc_gcoTETtBDSW73mFyRAtR/view?usp=sharing. We will release pretrained Swin Transformer weights later. 
 
 Note: if you don't receive a response to your inquiry (check your junk/spam folder first) you can directly email [email protected] or [email protected].